Game Performance in Ice Sledge Hockey
Bibliographic record
Abstract
OBJECTIVE: To compare first disability and anthropometric variables and second disability and game efficiency measures. DESIGN: Prospective cohort study. SETTING: Winter Paralympic Games in Vancouver (2010). PARTICIPANTS: A sample of 54 (age, 30.85 ± 7.99 y) of the 114 elite ice sledge hockey athletes participated in this study. To be included in the analysis, an athlete had to participate for a minimum of 45 minutes in total and in a minimum of 2 games during the tournament. ASSESSMENT OF RISK FACTORS: Athletes were categorized according to type of disability into 4 groups: group 1 (double amputee above and below the knee), group 2 (single amputee above and below the knee), group 3 (spinal cord injury), and group 4 (other physical disabilities, including phocomelia, cerebral palsy, sclerosis multiplex, and lower limb paresis, and players with minimal disability). Before the tournament, athletes completed a Personal Questionnaire Form. Data including anthropometric measurements (seated position and range of arms) and length of the sledge were also collected. MAIN OUTCOME MEASURES: All 20 scheduled games were videotaped using 3 video cameras. The games were analyzed after the tournament by 5 observers. All observations were recorded using the Game Efficiency Sheet for Ice Sledge Hockey developed by the authors. Fourteen game parameters were included for analysis. RESULTS: The instrument was developed specifically for this project's exploratory analysis. Interobserver and intraobserver reliability were established by statistical analysis (r > 0.93 and r > 0.95, respectively). Significant differences between disability groups were found for training frequency (F3,50 = 4.73, P = 0.006), height (F3,50 = 12.54, P = 0.001), and sledge length (F3,50 = 12.35, P = 0.001). The results of the Tukey honestly significant difference post hoc analyses revealed significant differences between groups 1 and 4 (P = 0.026), 2 and 4 (P = 0.007), and 3 and 4 (P = 0.013) for training frequency. There were also significant differences between groups 1 and 2 (P < 0.001), 1 and 4 (P < 0.001), and 2 and 4 (P = 0.021) for body height. In sledge length, significant differences were observed between groups 1 and 2 (P < 0.001), 1 and 3 (P < 0.001), 1 and 4 (P = 0.016), and 2 and 4 (P = 0.028). There was no strong evidence to support disability group differences in game efficiency measures. CONCLUSIONS: The results may confirm the lack of a need for additional classification in sledge hockey beyond minimum eligibility or may enhance the argument that a classification system may be needed because the lower functioning disabilities are not being represented in the sport.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".